The Study of Network Community Capacity to be a Subject: Digital Discursive Footprints

Autor: Taisiya A Grebenschikova, Tina A. Kubrak, Anatoly N. Voronin, Timofey A. Nestik, Natalya D. Pavlova
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Behavioral Sciences, Vol 9, Iss 12, p 119 (2019)
Behavioral Sciences
Volume 9
Issue 12
DOI: 10.0369/v1
Popis: The article is devoted to the assessment of the network community as a collective subject, as a group of interconnected and interdependent persons performing joint activities. According to the main research hypothesis, various forms of group subjectness, which determine its readiness for joint activities, are manifested in the discourse of the network community. Discourse constitutes a network community, mediates the interaction of its participants, represents ideas about the world, values, relationships, attitudes, sets patterns of behavior. A procedure is proposed for identifying discernible traces of the subjectness of a network community at various levels (lexical, semantic, content-analytical scales, etc.). The subjective structure of the network community is described based on experts&rsquo
implicit representations. The revealed components of the subjectness of network communities are compared with the characteristics of the subjectness of offline social groups. It is shown that the structure of the subjectness of network communities for some components is similar to the structure of the characteristics of the subjectness of offline social groups: the discourse of the network community represents a discussion of joint activities, group norms, and values, problems of civic identity. The specificity of network communities&rsquo
subjectness is revealed, which is manifested in the positive support of communication within the community, the identification and support of distinction between &ldquo
us&rdquo
and &ldquo
them&rdquo
Two models of the relationship between discursive features and the construct &ldquo
subjectness&rdquo
are compared: additive-cumulative and additive. The equivalence of models is established based on the discriminativeness and the level of consistency with expert evaluation by external criteria.
Databáze: OpenAIRE
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